Artificial intelligence has been a transformative force in technology, helping automate manual tasks, uncover hidden patterns from vast datasets, and manage complex operations. But for data analyst ...

Designing Data Centers for Next-Gen Language Models” was published by Intel Corporation and Georgia Tech. An excerpt from the ...

Parallel Processing: GPUs can perform numerous calculations simultaneously, making them significantly faster than CPUs for specific tasks.

If you don’t recall, the transputer was a groundbreaking CPU architecture made for parallel processing. Instead of giant, powerful CPUs, the transputer had many simple CPUs and a way to chain ...

Tool designed to validate the network performance of AI workloads and system infrastructure by adjusting and optimising parameters.

Hammerspace's David Flynn talks with theCUBE about developing a parallel NFS architecture that could revolutionize data storage.

In this paper, we present our Concurrent Systems class, where parallel programming and parallel and distributed computing (PDC) concepts have been taught for more than 20 years. Despite several rounds ...

This drastically reduces idle time and boosts parallel tasking. Of course, you also have to ensure that the register you are using has the correct contents at the time you are using it, but there ...

Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom.

The best parallel processing libraries for Python Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.